Performance evaluation of blind steganalysis classifiers

Mark T. Hogan; Guenole C. M. Silvestre; Neil J. Hurley

doi:10.1117/12.526660

22 June 2004 Performance evaluation of blind steganalysis classifiers

Mark T. Hogan, Guenole C. M. Silvestre, Neil J. Hurley

Proceedings Volume 5306, Security, Steganography, and Watermarking of Multimedia Contents VI; (2004) https://doi.org/10.1117/12.526660
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Steganalysis is the art of detecting and/or decoding secret messages embedded in multimedia contents. The topic has received considerable attention in recent years due to the malicious use of multimedia documents for covert communication. Steganalysis algorithms can be classified as either blind or non-blind depending on whether or not the method assumes knowledge of the embedding algorithm. In general, blind methods involve the extraction of a feature vector that is sensitive to embedding and is subsequently used to train a classifier. This classifier can then be used to determine the presence of a stego-object, subject to an acceptable probability of false alarm. In this work, the performance of three classifiers, namely Fisher linear discriminant (FLD), neural network (NN) and support vector machines (SVM), is compared using a recently proposed feature extraction technique. It is shown that the NN and SVM classifiers exhibit similar performance exceeding that of the FLD. However, steganographers may be able to circumvent such steganalysis algorithms by preserving the statistical transparency of the feature vector at the embedding. This motivates the use of classification algorithms based on the entire document. Such a strategy is applied using SVM classification for DCT, FFT and DWT representations of an image. The performance is compared to a feature extraction technique.

Citation Download Citation

Mark T. Hogan, Guenole C. M. Silvestre, and Neil J. Hurley "Performance evaluation of blind steganalysis classifiers", Proc. SPIE 5306, Security, Steganography, and Watermarking of Multimedia Contents VI, (22 June 2004); https://doi.org/10.1117/12.526660

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available